code: def call(
      self, sequence: tf.Tensor, states: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor, tf.Tensor]:
      embed = self.embedding(sequence)
      output, state_h, state_c = self.lstm(embed, initial_state=states)
      return output, state_h, state_c
  
file_path: headliner/headliner/model/basic_model.py
imports: from typing import Tuple
  import tensorflow
label_desc: Use image node_id 2 for calling the Encoder obj's underlying member method code with example usage: obj.call(sequence, states) and returns: output,  state_h,  state_c